A service logistics model for simultaneous siting of facilities and multiple levels of equipment. - Vaidyanathan K. Jayaraman; Rajesh Srivastava (Comput. Oper. Res., 1995)

Onset of resonance in chaotically driven systems. - R. Konnur; Valadi K. Jayaraman; Bhaskar D. Kulkarni (Appl. Math. Lett., 2000)

Dynamic Optimization of Chemical Processes using Ant Colony Framework. - J. Rajesh; Kapil Gupta; Hari Shankar Kusumakar; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (Comput. Chem., 2001)

A Tabu Search Based Approach for Solving a Class of Bilevel Programming Problems in Chemical Engineering. - J. Rajesh; Kapil Gupta; Hari Shankar Kusumakar; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (J. Heuristics, 2003)

Support vector classification with parameter tuning assisted by agent-based technique. - Abhijit J. Kulkarni; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (Comput. Chem. Eng., 2004)

An ant colony classifier system: application to some process engineering problems. - P. S. Shelokar; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (Comput. Chem. Eng., 2004)

Symbolization assisted SVM classifier for noisy data. - Rajiv Kumar; Abhijit J. Kulkarni; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (Pattern Recognit. Lett., 2004)

Support Vector Indentification of Light Induced Genes from Microarray Data Incorporating Motif Information. - R. Vigneshwar; Onkar C. Kulkarni; Valadi K. Jayaraman; Bhaskar D. Kulkarni (IICAI, 2005)

Arrhythmia Classification Using Local Hölder Exponents and Support Vector Machine. - Aniruddha J. Joshi; Rajshekhar; Sharat Chandran; Sanjay Phadke; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (PReMI, 2005)

Identification of coding and non-coding sequences using local Hölder exponent formalism. - Onkar C. Kulkarni; R. Vigneshwar; Valadi K. Jayaraman; Bhaskar D. Kulkarni (Bioinform., 2005)

Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process. - Abhijit J. Kulkarni; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (Comput. Chem. Eng., 2005)

An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples. - Rajiv Kumar; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (Pattern Recognit., 2005)

A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in Escherichia coli. - Susan Idicula-Thomas; Abhijit J. Kulkarni; Bhaskar D. Kulkarni; Valadi K. Jayaraman; Petety V. Balaji (Bioinform., 2006)

Feature Selection for Cancer Classification Using Ant Colony Optimization and Support Vector Machines. - Ankur Gupta; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (Analysis of Biological Data: A Soft Computing Approach, 2007)

Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli. - Pankaj Kumar; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (PReMI, 2007)

Fault Diagnosis Using Dynamic Time Warping. - Rajshekhar; Ankur Gupta; Amar Nath Samanta; Bhaskar D. Kulkarni; Vaidyanathan K. Jayaraman (PReMI, 2007)

Particle swarm and ant colony algorithms hybridized for improved continuous optimization. - P. S. Shelokar; Patrick Siarry; Valadi K. Jayaraman; Bhaskar D. Kulkarni (Appl. Math. Comput., 2007)

Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM. - Piyushkumar A. Mundra; Madhan Kumar; K. Krishna Kumar; Valadi K. Jayaraman; Bhaskar D. Kulkarni (Pattern Recognit. Lett., 2007)

Multifractality in arterial pulse. - Aniruddha J. Joshi; Sharat Chandran; Valadi K. Jayaraman; Bhaskar D. Kulkarni (ICPR, 2008)

Arterial Pulse Rate Variability analysis for diagnoses. - Aniruddha J. Joshi; Sharat Chandran; Valadi K. Jayaraman; Bhaskar D. Kulkarni (ICPR, 2008)

Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm. - Pankaj Kumar; Ankur Gupta; Valadi K. Jayaraman; Bhaskar D. Kulkarni (Advances in Metaheuristics for Hard Optimization, 2008)

Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes. - P. S. Shelokar; Valadi K. Jayaraman; Bhaskar D. Kulkarni (Eur. J. Oper. Res., 2008)

Hybrid SVM for Multiclass Arrhythmia Classification. - Aniruddha J. Joshi; Sharat Chandran; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (BIBM, 2009)

Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests. - Shreyas Karnik; Joydeep Mitra; Arunima Singh; Bhaskar D. Kulkarni; V. Sundarajan; Vaidyanathan K. Jayaraman (PReMI, 2009)

Identification of Defensins Employing Recurrence Quantification Analysis and Random Forest Classifiers. - Shreyas Karnik; Ajay Prasad; Alok Diwevedi; V. Sundararajan; Vaidyanathan K. Jayaraman (PReMI, 2009)

Hybrid Support Vector Machine for imbalanced data in multiclass arrhythmia classification. - Aniruddha J. Joshi; Sharat Chandran; Vaidyanathan K. Jayaraman; Bhaskar D. Kulkarni (Int. J. Funct. Informatics Pers. Medicine, 2010)

CAMP: a useful resource for research on antimicrobial peptides. - Shaini Thomas; Shreyas Karnik; Ram Shankar Barai; Vaidyanathan K. Jayaraman; Susan Idicula-Thomas (Nucleic Acids Res., 2010)

Ant Miner Based Intrusion Detection System with Various Feature Selection Algorithms. - K. Joshil Raj; Vidyavati S. Nayak; Valadi K. Jayaraman (IICAI, 2011)

Hybrid Firefly Based Simultaneous Gene Selection and Cancer Classification Using Support Vector Machines and Random Forests. - Atulji Srivastava; Saurabh Chakrabarti; Subrata Das; Shameek Ghosh; Vaidyanathan K. Jayaraman (BIC-TA (1), 2012)

Biogeography-based informative gene selection and cancer classification using SVM and Random Forests. - Sarvesh Nikumbh; Shameek Ghosh; Valadi K. Jayaraman (IEEE Congress on Evolutionary Computation, 2012)

Hybrid Biogeography Based Simultaneous Feature Selection and Prediction of N-Myristoylation Substrate Proteins Using Support Vector Machines and Random Forest Classifiers. - Shameek Ghosh; Nayana Ramachandran; C. Venkateshwari; Vaidyanathan K. Jayaraman (SEMCCO, 2012)

Variable Selection and Fault Detection Using a Hybrid Intelligent Water Drop Algorithm. - Manish Kumar; Srikant Jayaraman; Shikha Bhat; Shameek Ghosh; Vaidyanathan K. Jayaraman (SocProS, 2012)

ClassAMP: A Prediction Tool for Classification of Antimicrobial Peptides. - Shaini Joseph; Shreyas Karnik; Pravin Nilawe; Vaidyanathan K. Jayaraman; Susan Idicula-Thomas (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Hybrid feature selection and peptide binding affinity prediction using an EDA based algorithm. - Kalpesh Shelke; Srikant Jayaraman; Shameek Ghosh; Valadi K. Jayaraman (IEEE Congress on Evolutionary Computation, 2013)

Simultaneous gene selection and cancer classification using a hybrid group search optimizer. - Dattatraya Magatrao; Shameek Ghosh; Valadi K. Jayaraman; Patrick Siarry (GECCO (Companion), 2013)

Simultaneous Gene Selection and Cancer Classification Using a Hybrid Intelligent Water Drop Approach. - Manish Kumar; Shameek Ghosh; Valadi K. Jayaraman; Patrick Siarry (PReMI, 2013)

Hybrid ACO Chaos-Assisted Support Vector Machines for Classification of Medical Datasets. - Gunjan Mishra; R. P. Vivek-Ananth; Kalpesh Shelke; Deepak Sehgal; Valadi K. Jayaraman (SocProS (2), 2014)

Identification of Glucose-Binding Pockets in Human Serum Albumin Using Support Vector Machine and Molecular Dynamics Simulations. - Preethi Ranganarayanan; Narmadha Thanigesan; R. P. Vivek-Ananth; Valadi K. Jayaraman; Vigneshwar Ramakrishnan (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Support vector machine-based prediction of pore-forming toxins (PFT) using distributed representation of reduced alphabets. - Hrushikesh Bhosale; Vigneshwar Ramakrishnan; Valadi K. Jayaraman (J. Bioinform. Comput. Biol., 2021)

Identification of Phase Separating Proteins With Distributed Reduced Alphabet Representations of Sequences. - Ashwin Lahorkar; Hrushikesh Bhosale; Aamod Sane; Vigneshwar Ramakrishnan; Valadi K. Jayaraman (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)